@article{be69c175658e44a098b35f6940873f3f,
title = "OntoConnect: Results for OAEI 2020",
abstract = "The results of OntoConnect, an Ontology alignment system, in the Ontology Alignment Evaluation Initiative (OAEI) 2020 campaign is reported in this paper. OntoConnect is a domain-independent schema alignment system that combines syntactic similarity and structural similarity between classes/concepts to align the classes/concepts from the source and target ontologies. This paper describes the participation of OntoConnect at OAEI 2020 and discusses its methodology and results on the Anatomy dataset.",
keywords = "Ontology Matching, Ontology alignment, Recursive Neural Network, Unsupervised Learning",
author = "Jaydeep Chakraborty and Beyza Yaman and Luca Virgili and Krishanu Konar and Bansal, \{Srividya K.\}",
note = "Funding Information: Beyza Yaman has been supported by the European Union{\textquoteright}s Horizon 2020 research and innovation programme under Marie Sklodowska-Curie grant agreement No. 801522, by Science Foundation Ireland and co-funded by the European Regional Development Fund through the ADAPT Centre for Digital Content Technology [grant number 13/RC/2106] and Ordnance Survey Ireland. Funding Information: The authors gratefully acknowledge the Google Summer Code program and DBpedia organization for guidance and support. We also thank the Google Cloud Platform (GCP) research credits program for providing an environment to run the experiments using their Cloud Computing services. Beyza Yaman has been supported by the European Union's Horizon 2020 research and innovation programme under Marie Sklodowska-Curie grant agreement No. 801522, by Science Foundation Ireland and co-funded by the European Regional Development Fund through the ADAPT Centre for Digital Content Technology [grant number 13/RC/2106] and Ordnance Survey Ireland. Publisher Copyright: Copyright {\textcopyright} 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).; 15th International Workshop on Ontology Matching, OM 2020 ; Conference date: 02-11-2020",
year = "2020",
language = "English (US)",
volume = "2788",
pages = "204--210",
journal = "CEUR Workshop Proceedings",
issn = "1613-0073",
publisher = "CEUR-WS",
}